ChatGPT / Claude Enterprise
A web-wrapper for a model that doesn't know your business. Your prompts become their training data. Terms change on their timeline, not yours.
✕ You are the product.
Now accepting enterprise engagements
Your AI. Your Sovereignty. Your Data.
This stopped being about where your AI runs. It's about whether your company owns its intelligence - or rents it from someone who can change the terms tomorrow.
There's a better way. On-prem. Behind your firewall. Your data and culture. 100% sovereign.
This isn't a bet. It's the exit from someone else's bet you didn't know you were making.
"Where were you when you found out your competitor was using the same AI - trained on the same data - including yours?"
"Where were you when you found out you spend $15 per million tokens - when you could run the same model for 50 cents?"
"Where were you when the AI copilot your team plugged in had a security hole open for six months?"
"Where were you when a data-center outage 2,000 miles away took down every AI tool you run?"
"Where were you when the AI platform running half your operations got acquired - and you found out from a press release?"
✓ Open-Source Models
✓ On-Prem Deployment
✓ Enterprise Security
✓ Dedicated Engineer
sovereignty://live-telemetry
Cloud cost / 1M tok
$0
On-prem / 1M tok
$0
Data that leaves
0 bytes
Time to prod
0-0 wk
WEIGHTS RESIDENT IN YOUR RAM · ZERO TELEMETRY · 100% OPEN-SOURCE
Every quarter you wait, more data flows outward, more operations depend on infrastructure you don't control, and more of your workforce is using AI tools your security team can't see. The cost of moving on-prem doesn't go down while you wait. The cost of not having moved goes up.
SCROLL
Data Extraction - you are the product
Telemetry Leakage - your genius, proxied
Model Training - your IP trains your replacement
Vendor Lock-in - terms change tomorrow
$15 / 1M tokens - the wrapper tax
Outage 2,000mi away - your ops go dark
⚡ THE POWER CLOCK - REAL-TIME COST OF AI ENERGYLIVE
PowerClock.ai →
⚡
AI Electricity
This Year
This Year
Terawatt-Hours
Global AI data centers 2026. Growing 26% YoY.
💸
Estimated
Energy Cost
Energy Cost
USD Billions
~$1,015/sec. Borne by cloud vendors & data centers.
🌋
CO² Equivalent
Million Metric Tons
Equivalent to 14M gasoline cars driven for a year.
💧
Water Consumed
Billion Gallons
Cooling AI servers. ~1.8L per ChatGPT conversation.
💬
AI Queries
This Year
This Year
Billions of Queries
Each query uses ~10× the energy of a Google search.
🏠
Homes Equivalent
Million U.S. Homes
AI energy could power every home in Illinois & Ohio.
⚡ Energy Cost / AI Query
Full Dashboard →
ChatGPT GPT-4o--
Claude 3.5--
Gemini 1.5 Pro--
Image Gen / DALL-E--
🏠 AI Standards On-Prem--
The Questions Nobody's Asking
You already know what
you need to do.
01 / 05
Where were you when you found out every question your team asks ChatGPT becomes training data for someone else's model?
Where were you when you found out your entire AI infrastructure runs in someone else's building - and they can change the terms tomorrow?
Where were you when the consulting firm charging you $1.2M just recommended you buy another company's cloud AI?
Where were you when you found out your AI vendor's audit trail is stored in their own database - and they can edit it?
Where were you when you found out you don't have to accept any of this?
01 The Problem
The cloud isn't a strategy.
It's someone else's leverage.
That feeling your CFO has about AI costs? That's not resistance - that's fiduciary instinct. Data centers now consume 565 terawatt-hours of electricity globally, growing 26% every year. Every token you send to the cloud powers that machine, carries your proprietary data, and adds to the bill.
0
Terawatt-hours / year - global data-center electricity in 2026. Up 26% YoY. AI is the fastest-growing demand source.
0%
Lower cost running the same open-source models on hardware you own - $15/M tokens in the cloud vs ~$0.50 on-prem.
0%
Of US peak summer power projected to be consumed by data centers by 2027 - up from 4.1% in 2025.
$15
per 1M tokens · cloud
→
$0.50
per 1M tokens · on-prem
Same open-source model. 30× cheaper on hardware you own - and your data never leaves the building.
The Difference
Same models.
Opposite accountability.
Everyone runs the same open weights. The real question is whether you can prove what happened afterwards. One side asks you to trust a vendor's database. The other hands you a cryptographic receipt.
LEGACY_FRICTION
Ungoverned AI
- ✕
Editable audit trail. Logs live in the vendor's database - and they hold the pen.
- ✕
Your data trains their model. Every prompt becomes someone else's competitive advantage.
- ✕
No proof of which model answered. Silent swaps, quantization, drift - you'd never know.
- ✕
Compliance is a promise. A PDF, a logo, and "trust us." Nothing you can independently verify.
GOVERNED_STANDARD
The AI Standards way
- ✓
Tamper-evident ledger. Every inference hash-chained and anchored. Change one byte, the chain breaks.
- ✓
Your data never leaves. Runs on hardware you own. It physically cannot become training data.
- ✓
Weight Integrity Seal. Cryptographic proof of the exact model that served every response.
- ✓
Compliance is a receipt. Verifiable on demand, by your own auditors, without asking us.
LIVE · GOVERNANCE TELEMETRY
0
Inferences logged
0
Integrity checks passed
0
Merkle roots anchored
0
Tamper events detected
Each number is an append-only cryptographic record - not a marketing figure.
02 The Math
Move the sliders.
Watch the wrapper tax disappear.
Real numbers, not marketing. Cloud inference is billed per million tokens. On-prem amortizes your own hardware. Drag to your scale.
Your workload
Estimate monthly token volume and team size.
CLOUD Annual inference bill
$0
ON-PREM Annual run cost (amortized)
$0
Data leaving your building
0 bytes
$0
Saved every year - money that stays yours
Your Alternatives
Every other path
has an owner. It isn't you.
Be honest about the options actually on the table. Three of them hand control to someone else. One doesn't.
The $1.2M advisory deck
Six months of slides, then a recommendation to buy someone else's cloud AI. They audit, invoice, and leave. Nothing runs in your building.
✕ A PDF, not a system.
Build it in-house
Hire a team, burn 18 months, and discover the hard part was never the model - it's governance and integrity. Most efforts stall before production.
✕ Time you don't have.
Sovereign, on your hardware
Open-source models behind your firewall. Tamper-evident lineage. Weight-integrity proof. A dedicated engineer who stays. You own every layer of it.
✓ You own the intelligence.
03 What We Deploy
Three architectures.
Proven tools. Your hardware.
Every engagement follows one of three standard architectures. Configuration varies by industry - the architecture does not. Repeatability means faster deployment and lower risk.
Secure Workspace
A private AI your teams actually use for real work - without piping sensitive data through consumer tools your security team can't see.
- On-prem LLM - Llama, Mistral, Phi-4
- Web-based AI workspace
- SSO with your directory
- Monitoring + uptime SLA
- DeployModel spun up on your GPU node.
- ConnectWorkspace wired to your SSO / directory.
- GuardGuardrails + full prompt logging enabled.
- OnboardTeams trained, live in days.
- Zero data leaves your network
- No per-seat SaaS tax
- Full audit trail on every prompt
POPULAR
Governed Retrieval
Every answer grounded in your own documents and systems - with full visibility into what it pulled and why. No hallucinations, no black box.
- Everything in Secure Workspace
- Vector database for your docs
- Document ingestion pipeline
- Role-based access controls
- Workflow automation
- IngestYour documents chunked + cleaned.
- EmbedIndexed into a private vector store.
- GroundAnswers cite the exact source passage.
- GateRole-based access wired to your org.
- Grounded in your truth, not the internet
- Every citation traceable to source
- No hallucinated policy or numbers
Sovereign Model
Your own model, trained on your data, running entirely behind your firewall. Nothing you feed it ever leaves your building or trains someone else's system.
- Everything in Governed Retrieval
- Custom model fine-tuned on your data
- Autonomous agents for key workflows
- Enterprise security hardening
- Compliance documentation
- CurateYour domain data cleaned + labelled.
- TrainBase model fine-tuned to your voice.
- DeployAutonomous agents behind the firewall.
- CertifyHardened + compliance sign-off.
- A model that is legally yours
- Runs fully air-gapped if needed
- Improves on your data - never theirs
04 How We Work
Six phases. No surprises.
The same delivery sequence for every engagement. You know what happens, when it happens, and what you get at each milestone.
1
AI Audit
Inventory every AI tool, data flow, and compliance gap.
2-3 weeks2
Infrastructure
Rack, network, firewall, monitoring, VPN. The foundation.
2-4 weeks3
First Inference
Model running. Workspace deployed. Your team's first on-prem AI.
2-4 weeks4
Fine-Tuning
Your data cleaned. Model trained on your domain. Benchmarked.
4-8 weeks5
RAG + Agents
Document pipeline live. Autonomous agents. Workflow integration.
3-5 weeks6
Harden + Handoff
Security hardened. Staff trained. Managed services. We stay.
2-3 weeks05 Why AI Standards
We show up. We build. We stay.
There's a kind of company that's been through three consulting engagements, two cloud migrations, and a compliance audit - and the AI still doesn't work. Nobody asks if the current path is sustainable. We do.
| Dimension | Traditional Consultants | Cloud AI Vendors | AI Standards Inc |
|---|---|---|---|
| Approach | Audit, report, leave | Sell you API access | Audit, build, stay |
| Where AI runs | Their cloud recommendation | Their data centers | Your building |
| Your data | Sent to their cloud | Trains their next model | Never leaves your premises |
| Time to production | 6-18 months | Weeks (cloud), no on-prem | 4-12 weeks on-prem |
| Ongoing presence | Quarterly check-in | Support ticket queue | Dedicated engineer |
| Vendor lock-in | Proprietary stack | Locked to their platform | 100% open-source - walk away with everything |
| If they shut down | Your report is a PDF | Your AI goes dark | Your system runs independently |
06 The Stack
Proven tools. No vendor lock-in.
Every component is open-source and battle-tested. You own everything. If we walked away tomorrow, your AI keeps running.
Everything Included
40+ capabilities. Zero add-ons.
No surprise upsells. No “contact us for that module.” One engagement, one price - the entire sovereign stack, deployed and running on hardware you own.
Infrastructure & Hardware
- On-prem GPU nodes, sized to you
- Rack, network & firewall setup
- VPN + secure remote access
- Monitoring & uptime SLA
- High-availability failover
- Air-gapped deployment option
- Capacity planning & scaling
Models & Inference
- Open-weight LLMs - Llama, Mistral, Phi
- Custom fine-tuning on your data
- Per-task model routing
- Weight-integrity seal (WIS)
- BYO / self-hosted weights
- GPU-optimized serving
- Vision & multimodal support
Retrieval & Data
- Private vector database
- Document ingestion pipeline
- Source-cited, grounded answers
- CAD / PDF / doc parsing
- Role-based data access
- Incremental re-indexing
- No data leaves your network
Security & Compliance
- AES-256 encryption at rest
- SSO with your directory
- Row-level tenant isolation
- HIPAA / SOC 2 / SR 11-7 mapping
- CMMC 2.0 / zero-trust ready
- Sealed secrets & key vault
- Pen-test friendly architecture
Governance & Audit
- Tamper-evident lineage spine
- Optional on-chain anchoring
- Full prompt & output logging
- Behavioral drift detection
- Compliance attestations
- Field-level change history
- Independently verifiable trail
Operations & Support
- Dedicated deployment engineer
- On-site until it works
- Staff training & enablement
- Managed services option
- 6-phase delivery playbook
- Full documentation at handoff
- No lock-in - you own it all
07 Industries
Configured for your regulatory environment.
Same architecture. Different compliance. We know the difference between HIPAA logging and SR 11-7 audit trails.
REGULATED
Financial Services
Audit-ready AI for research, underwriting and client ops - with model risk you can defend to a regulator.
- Research copilots grounded in your filings
- KYC & document automation
- Cryptographic model lineage for exams
SR 11-7SOC 2Model risk
PHI-SAFE
Healthcare
Clinical and operational AI where patient data never leaves your walls - HIPAA by architecture, not promise.
- Chart summarization & coding support
- Private RAG over protocols & records
- PHI redaction & access controls
HIPAAPHI protectionBAA docs
PRIVILEGED
Legal
Matter-aware AI that respects privilege boundaries and produces a clean, discoverable trail for every action.
- Contract & brief analysis
- Matter-scoped access controls
- eDiscovery-ready audit logs
Matter accessPrivilegeeDiscovery
AIR-GAPPED
Defense & Gov
Fully offline AI for classified and controlled environments. Zero telemetry. Zero exceptions.
- Air-gapped inference & RAG
- Zero-trust network posture
- Signed, verifiable model provenance
Air-gappedCMMC 2.0Zero-trust
ON-PREM
Manufacturing
AI grounded in your technical corpus - specs, CAD and QA - running right next to the factory floor.
- Technical-doc & SOP retrieval
- CAD & drawing ingestion
- Quality & defect analysis
Tech docsCAD ingestionQA systems
SELF-HOSTED
Technology
Private coding and developer AI on your own repos - no source ever leaves, no IP trains a competitor.
- Code assistants on your repos
- CI/CD & internal tool automation
- BYOK / self-hosted models
Code reposCI/CDDev tools
How Proof Works
From inference
to irreversible proof.
Every model action becomes a cryptographic fact in four steps. No trust required - the math is the auditor.
01
Inference
Prompt and response captured with model ID, timestamp and context.
02
SHA-256
Input and output hashed, then folded with the previous record's hash.
03
Merkle batch
Hashes rolled into a Merkle tree - one root proves thousands of records at once.
04
Anchor
The audit root is cryptographically sealed. Tamper with any record and the seal breaks — automatically and permanently.
08 Security & Sovereignty
Provable by design.
Not "trust us."
Most vendors ask you to trust them. We build so you can verify. Sovereignty isn't a slogan here - it's the architecture.
Air-gap capable
Runs fully behind your firewall - or completely offline. Weights resident in your RAM. Nothing phones home.
Tamper-evident lineage
Every model action hash-chained into an append-only ledger. Optionally anchored on-chain - an audit trail nobody can quietly edit.
Weight-integrity seal
The exact model you approved is the model that serves - cryptographically. Silent substitution or drift is detected before it loads.
Encrypted at rest
Secrets, credentials and keys sealed with authenticated AES-256. Row-level isolation - your data never bleeds across boundaries.
Your data, your domain
100% open-source stack on hardware you own. Export anything, anytime. If we walked away tomorrow, it keeps running.
Compliance-ready
SR 11-7, SOC 2, HIPAA, CMMC 2.0 - logging and audit trails mapped to your regulator, documented at handoff.
Try It Yourself
Don't trust us.
Verify a receipt.
This runs entirely in your browser - real SHA-256, no server, nothing sent anywhere. Edit any field and watch the cryptographic chain break in real time. That is what tamper-evidence means.
lineage://record/verify
● VERIFIED
governance_hash
computing…Sealed and matching the anchored root.
Mapped to Your Regulator
Your framework.
Our architecture, mapped.
Select a framework. See exactly which architectural control satisfies it - documented at handoff, not hand-waved.
09 Leadership
Veteran professionals. Real experience.
No junior analysts running your deployment. The people who designed the system are the people who build yours.
Joe Quenneville
CO-FOUNDER & CEO
35+ years in cybersecurity and enterprise technology. CISO-level experience across financial services and defense.
Fran Horvath
CO-FOUNDER & CMO / CHIEF VISION OFFICER
Strategic operations, financial architecture, and AI governance design. Oversees business development and the deployment framework.
Anwesh Rath
CO-FOUNDER · CTO & CHIEF SCIENTIST
Architects and builds the platform end to end - sovereign model stacks, on-prem inference, and the cryptographic governance layer (weight-integrity seals, verifiable lineage) that lets you prove exactly what your AI did. Leads the research turning "trust us" compliance into receipts you can independently verify.
10 Questions, Answered
The things your board will ask.
Yes - the more you use, the more you save. Cloud inference is billed per million tokens (~$15/M). On-prem amortizes hardware you own down to ~$0.50/M. Above modest volume the crossover is decisive; our calculator above uses conservative numbers, not marketing.
Nothing breaks. Every component we deploy is open-source and runs on your hardware. You own the models, the weights, the data and the configuration. There is no license server to phone home and no vendor to hold you hostage. Walk away with everything.
Every model action is recorded into a cryptographically sealed, append-only audit trail. The record is tamper-evident - independently verifiable, not "stored in our database where we could edit it." That difference closes compliance reviews fast.
Yes. The full stack runs behind your firewall or completely offline. Weights stay resident in your RAM. Zero telemetry leaves the building - configurable for CMMC 2.0, zero-trust and defense environments.
4-12 weeks on-prem depending on architecture. First inference typically inside the first month; fine-tuning and agents follow. Same six-phase sequence every time - you always know what happens, when, and what you get at each milestone.
We stay. A dedicated engineer, hardening, staff training and managed services are part of the engagement. Traditional consultants audit and leave; cloud vendors sell you a queue. We build it in your building and keep it running.
Get Started
You're allowed to want AI that belongs to your company.
A year from now - when your AI runs on your hardware, your data never leaves, and your costs dropped 80% - you'll look back at this conversation as the moment it started. Book a 45-minute discovery call.
🔒 We sign a mutual NDA before the conversation starts. Your information is protected.